It's all in the Name: Entity Typing using Multilingual Language Models
Buchtitel: The Semantic Web: ESWC 2022 Satellite Events: Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings
The entity type information in Knowledge Graphs (KGs) of different languages plays an important role in a wide range of Natu- ral Language Processing applications. However, the entity types in KGs are often incomplete. Multilingual entity typing is a non-trivial task if enough information is not available for the entities in a KG. In this work, multilingual neural language models are exploited to predict the type of an entity from only the name of the entity. The model has been success- fully evaluated on multilingual datasets extracted from different language chapters in DBpedia namely German, French, Spanish, and Dutch.
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DOI Link: 10.1007/978-3-031-11609-4_7